Snowflake - Build and Architect Data Pipelines Using AWS - Course Roadmap

This course offers a practical approach to learning Snowflake, covering 12 sections on topics like data warehousing fundamentals, table creation, data loading, tasks, streams, user-defined functions, AWS integration, real-time streaming, and data security. The course emphasizes hands-on learning and will be updated with new sections on stored procedures, data modeling, and Snowpark. Feedback is encouraged to tailor the content to learners' needs.

What is the primary focus of Section 2 in the course?

• Understanding Snowflake's architecture and components

• Data security and governance

• Creating tables in Snowflake

• Real-time streaming with Kafka

Which section covers the creation and management of tables?

• Section 7

• Section 2

• Section 3

• Section 5

What is the main topic of Section 7?

• User-defined functions

• Data security

• Real-time streaming

• Streams and change data capture

Which technology is used for real-time streaming in Section 11?

• Snowpark

• Python

• AWS Lambda

• Kafka

What upcoming topic is mentioned for future updates in the course?

• Data partitioning

• AWS Glue integration

• Snowpark in Python

• SQL optimization